- BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
- 5+ year of professional experience working on system software.
- Excellent programming skills in C++, C and Python.
- Experience in architectural security analysis techniques such as threat modeling, risk analysis, attack trees, etc. (using STRIDE, HEAVENS) and managing resultant Product Security Requirements.
- Experience with automotive cybersecurity standards/regulations (e.g., ISO 21434, SAE J3061, UNECE Regulation 155) or other standards/regulations relevant to the automotive industry and/or cybersecurity (e.g., GDPR).
- Solid understanding of Linux, QNX, ROS, and/or real-time operating systems.
- Experience in developing user-space system software, with a willingness to delve into kernel-space and/or low-level hardware when needed.
- Knowledge about embedded system programming, threading, mutex, synchronization, communication, and parallel computing to build highly-scalable and efficient applications.
- Prior experience working in the following areas: Autonomous Vehicles, Robotics, Self-Driving-Cars, CPU/GPU technology, Embedded Systems, Computer Vision.
Ways to stand out from the crowd
- Deep understanding of system architecture, CPU/GPU/Memory/Storage, everything related to performance optimization.
- Experience in Autonomous Vehicle or Robotic system building.
- Hand-on experience in embedded development, operating systems and real-time software.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.